Data science on the Google cloud platform : implementing end-to-end real-time data pipelines: from ingest to machine learning /
Learn how easy it is to apply sophisticated statistical and machine learning methods to real-world problems when you build on top of the Google Cloud Platform (GCP). This hands-on guide shows developers entering the data science field how to implement an end-to-end data pipeline, using statistical a...
Clasificación: | Libro Electrónico |
---|---|
Autor principal: | Lakshmanan, Valliappa (Autor) |
Formato: | Electrónico eBook |
Idioma: | Inglés |
Publicado: |
Sebastopol, CA :
O'Reilly Media,
2018.
|
Edición: | First edition. |
Temas: | |
Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
Ejemplares similares
-
Data science on the Google Cloud Platform : implementing end-to-end real-time data pipelines : from ingest to machine learning /
por: Lakshmanan, Valliappa
Publicado: (2022) -
Cloud analytics with Google Cloud Platform : an end-to-end guide to processing and analyzing big data using Google Cloud Platform /
por: Thodge, Sanket
Publicado: (2018) -
GCP : complete Google data engineer and cloud architect guide /
Publicado: (2017) -
Google Cloud Platform Cookbook : Implement, deploy, maintain, and migrate applications on Google Cloud Platform.
por: PS, Legorie Rajan
Publicado: (2018) -
Google Cloud Platform for Architects : Design and Manage Powerful Cloud Solutions.
por: Ravi, Janani
Publicado: (2018)